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28 April 2023

Harnessing Mobile Data to Assess Disease and Relapse

Read about King's work on AI techniques to identify disease and relapse, as featured in the Bringing the Human to the Artificial exhibition.

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Data from mobile devices can give a full and continuous picture of a person’s health at a level of detail that has not been possible until now. With such data we need AI.

This continuous monitoring produces a huge amount of data and we need AI approaches to help extract learning and insight.

The RADAR-CNS programme brought together clinicians, researchers, engineers, computer scientists and bioinformaticians from all over the world to explore the use of wearables and smartphones to help manage depression, multiple sclerosis and epilepsy. The programme collected 62 terabytes of data from 1,450 participants over seven years.

To manage the data, researchers developed the open-source RADAR-base platform and used AI techniques to identify and test possible indicators of health and relapse.

Examples include the following.

  • A machine learning approach correctly detected severely convulsive epileptic seizures from wearable data.
  • AI techniques were used to extract features from Bluetooth data to approximate rhythms of behaviour and show they could predict depression severity.
  • A machine learning method was developed and applied to Fitbit heart rate data to identify people with COVID-19.

Data analysis continues, with a range of outputs in the pipeline. The programme focussed on the use of remote measurement technologies for depression, MS and epilepsy but they have many other potential applications. The RADAR-base platform is now used by over 30 projects.

Project Leads

Matthew Hotopf
Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London

Vaibhav Narayan
Janssen Pharmaceutica NV (during the programme)

Project Team

Clinicians, researchers, engineers, computer scientists and bioinformaticians from King’s College London, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Vall d’Hebron Institut de Recerca, University of Nottingham, Centro de Investigacion Biomedica en Red, Software, Region Hovedstaden, Amsterdam UMC, UniversitatskIinikum Freiburg, imec, KU Leuven, Northwestern Medicine, Universita degli studi di Bergamo, Charite-Universitatsmedizin Berlin, Janssen Neuroscience, Biogen, Lundbeck, UCB, MSD, Augsburg University, Browser Stack, Vibrent, The Hyve, Parc Sanitari Sant Joan de Deu, IRCCS Ospedale San Raffaele


Innovative Medicines Initiative (now Innovative Health Initiative)

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In this story


Executive Dean, Institute of Psychiatry, Psychology & Neuroscience